Ithaca, NE Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Ithaca, NE | Nebraska | U.S. |
Occupied Housing Units | 56, 100% | 731,347 | 116,211,092 |
No Vehicles Available | 2, 3.57%, see rank | 5.65% | 9.12% |
1 Vehicles Available | 10, 17.86%, see rank | 30.01% | 33.80% |
2 Vehicles Available | 24, 42.86%, see rank | 39.57% | 37.48% |
3 or More Vehicles Available | 20, 35.71%, see rank | 24.77% | 19.61% |
ACS 2008-2012 data
| Ithaca, NE | Nebraska | U.S. |
Occupied Housing Units | 47, 100% | 721,026 | 115,226,802 |
No Vehicles Available | 2, 4.26%, see rank | 5.79% | 9.03% |
1 Vehicles Available | 9, 19.15%, see rank | 29.90% | 33.67% |
2 Vehicles Available | 23, 48.94%, see rank | 39.71% | 37.64% |
3 or More Vehicles Available | 13, 27.66%, see rank | 24.59% | 19.66% |
ACS 2006-2010 data
| Ithaca, NE | Nebraska | U.S. |
Occupied Housing Units | 40, 100% | 711,771 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 5.54% | 8.85% |
1 Vehicles Available | 10, 25.00%, see rank | 29.84% | 33.28% |
2 Vehicles Available | 15, 37.50%, see rank | 39.68% | 37.87% |
3 or More Vehicles Available | 15, 37.50%, see rank | 24.94% | 20.00% |
ACS 2005-2009 data
| Ithaca, NE | Nebraska | U.S. |
Occupied Housing Units | 30, 100% | 702,637 | 112,611,029 |
No Vehicles Available | 3, 10.00%, see rank | 5.53% | 8.80% |
1 Vehicles Available | 3, 10.00%, see rank | 30.09% | 33.21% |
2 Vehicles Available | 11, 36.67%, see rank | 39.53% | 37.98% |
3 or More Vehicles Available | 13, 43.33%, see rank | 24.85% | 20.01% |
US Census 2000 data
| Ithaca, NE | Nebraska | U.S. |
Occupied Housing Units | 56, 100% | 666,184 | 105,480,101 |
No Vehicles Available | 4, 7.14%, see rank | 6.28% | 10.30% |
1 Vehicles Available | 9, 16.07%, see rank | 31.05% | 34.25% |
2 Vehicles Available | 28, 50.00%, see rank | 40.39% | 38.36% |
3 or More Vehicles Available | 15, 26.79%, see rank | 22.28% | 17.10% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.